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Intelligent Decision Models: Getting the Most out of Demand ManagementProduct Type: Market Research ReportPublished by: IDC Published: April 2006 Product Code: R104-25758 Description This Manufacturing Insights report outlines the need to establish an intelligence platform strategy or value-loop applications to support broader and more timely decision making in demand management. This report further outlines: An architecture for intelligent decision models A broader concept of saddle-point benchmarking to assess an individual company's capabilities for fostering more intelligent demand management strategies A plan to set priorities and develop action planning among IT and functional demand management teams"To consistently meet stakeholder expectations, companies need to invest in a new approach to business decision making. Intelligent decision models both deliver timely management information and host each of the demand management processes in a single, closed-loop, and collaborative workspace that allows decision makers at all levels of an organization to collectively measure performance, anticipate results, and drive profitability." - Mike Witty, director, Demand Management Strategies Table of Contents Manufacturing Insights Opinion In This Report Situation Overview Business Need Management Challenges The Best Practices High-Performance Strategies The Rise of Information Technology Economics Correlating Practices with Performance Figure: Saddle-Point Analysis Curves A Standard Taxonomy for Intelligent Decision Models An Architecture for Intelligent Decision Models Organizing for Success Differentiating the Adopters Figure: IT Economics Framework Benchmarking the Processes Figure: Attract Saddle-Point Benchmarks Figure: Sell Saddle-Point Benchmarks Figure: Serve Saddle-Point Benchmarks Describing the Decisions Figure: Context for Demand Management Decisions Setting Priorities Future Outlook The IT Investment Shift Table: Manufacturing IT Capital Spending Share by Value Platform, 1995, 2000, 2005, and 2010 (%) The Demand Management Decision Investment Essential Guidance Actions to Consider Learn More Related Research Synopsis |
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